{"id":"W2313161754","doi":"10.2307/2672526","title":"Forbidden Workers: Illegal Chinese Immigrants and American Labor","year":2001,"lang":"en","type":"article","venue":"Pacific Affairs","topic":"Migration, Ethnicity, and Economy","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Immigration; Illegal immigrants; Demographic economics; Political science; Criminology; Sociology; Economics; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001099635,0.0003305518,0.0003581446,0.001928885,0.00379793,0.002817903,0.0008647594,0.001470438,0.007404626],"category_scores_gemma":[0.004340533,0.000300032,0.000342192,0.002702345,0.004137061,0.002044264,0.002795563,0.001645043,0.0002459485],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001465794,"about_ca_system_score_gemma":0.004456788,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09732433,"about_ca_topic_score_gemma":0.1485329,"domain_scores_codex":[0.9993469,0.000209814,0.00004129396,0.00005172108,0.00007392483,0.0002762223],"domain_scores_gemma":[0.9970245,0.0007926548,0.001039825,0.00009798758,0.0001782912,0.0008666863],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003150674,0.0004240552,0.9667805,0.00004526522,0.0000259995,0.0008420816,0.01790517,0.00004583257,0.00009214768,0.006406668,0.0008728225,0.006244361],"study_design_scores_gemma":[0.00007526992,0.0001947481,0.7375596,0.0002507481,0.0002178477,0.001060236,0.2516293,0.0005241552,0.0001507252,0.004509712,0.003789282,0.0000383785],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929782,0.0006278367,0.00002323213,0.001541818,0.00003818124,0.000009349178,0.00004324587,8.39179e-7,0.00473731],"genre_scores_gemma":[0.9980677,0.0006618554,0.00001813123,0.0002003301,0.00006470345,0.000009262551,0.00004181013,0.000001302049,0.0009349547],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09732433,"threshold_uncertainty_score":0.1935157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.011785198517201,"score_gpt":0.270671456522211,"score_spread":0.25888625800501,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}